Clinical DecisionMaking

Group Information

The Clinical Decision Making Group at the MIT Laboratory for Computer
Science is a research group dedicated to exploring and furthering
the application of technology and artificial intelligence to clinical
situations. Because of the vital and crucial nature of medical practice,
and the need for accurate and timely information to support clinical
decisions, the group is also focused on the gathering, availability,
security and use of medical information throughout the human "life
cycle" and beyond.

Projects

The i2b2 Center is developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases. This knowledge will facilitate the design of targeted therapies for individual patients with diseases having genetic origins.

A well-organized, complete and accurate record of clinical encounters can form the bedrock of data on which both clinical care and clinical and biomedical research can rest. This project applies state of the art and novel technologies to "listen" to and interpret encounters between patients and health care providers to create such records. Its success should lead to better health care and greater possibilities for using clinical data in medical research.

Indivo is a personally controlled health record system that enables patients to own complete, secure copies of their medical records. Indivo integrates health information across sites of care and over time. Indivo is built to public standards as an open-source application platform and is actively deployed in real-life settings.

The Monitoring, Analysis, and Interpretation Tool Arsenal provides means for automated gathering, understanding, and reacting to important information in a broad range of application areas, including clinical, military, industrial, commercial, and scientific monitoring and surveillance.